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02 December 2019 | Story Leonie Bolleurs | Photo Leonie Bolleurs
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Prof Koos Albertyn handing over a donation of eleven microscopes to Anzell Spelding, a teacher at Luckhoff Combined School.

With a donation of microscopes, the Department of Microbial, Biochemical and Food Biotechnology at the University of the Free State (UFS) recently contributed to better quality education for a group of 60 learners in the Life Sciences class at the Luckhoff Combined School.

Anzell Spelding, a teacher at the school – with a newly built science laboratory but little equipment – contacted the department a while ago to enquire whether they have any microscopes available to donate. As the department recently acquired a new set of microscopes for undergraduate teaching in the field of Microbiology, ten fully functional microscopes and two other microscopes (for parts) were donated to motivate the learners to choose science as a career.

“This donation puts scientific instruments in the hands of children at an early age, opening their eyes to the possibility of careers in science. Exposing learners to science at an early age can spark enthusiasm and a love of learning that might otherwise never appear,” said Koos Albertyn, Professor in the UFS Department of Microbial, Biochemical and Food Biotechnology.

“These microscopes will enable learners to look at specimens at a microscopic level and therefore access the wonders of natural science at the tiniest and most fascinating level,” he added. 

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Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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